Match tier
Confirmed
Presence
Formerly Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-06
J
Josiah K. Leong
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor, Alice L. Walton School of Medicine
Also affiliated: University of California, San Francisco (2013–2022); University of California System (2022); Indiana University Bloomington (2020–2024); Alice L. Walton School of Medicine (2026); Indiana University (2020–2024); University of California, Berkeley (2012); Stanford University (2016–2018)
Formerly Arkansas Assistant Professor, University of Arkansas through 2026; now Associate Professor, Alice L. Walton School of Medicine.
11 h-index
33 pubs
507 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Josiah K. Leong's research focuses on the neural circuitry underlying decision-making, risk-taking behaviors, and substance use. His work utilizes neuroimaging techniques, such as magnetic resonance imaging (MRI), to investigate the structural and functional connections within the brain. Publications include studies on the white-matter tracts connecting brain regions like the anterior insula and nucleus accumbens in relation to financial risk preferences, and the medial forebrain bundle's link to impulsivity. Leong has also investigated how brain tract structure predicts relapse to stimulant drug use and the neural circuits supporting incentivized inhibition. His research also extends to age-dependent effects in preclinical Alzheimer's disease and the influence of stress sensitivity on brain structure in adolescents. He has 31 publications with an h-index of 12 and over 500 citations. Key collaborators include Zach J. Gray, Grant S. Shields, and Jennifer C. Veilleux, all from the University of Arkansas at Fayetteville.
Metrics
- h-index: 11
- Publications: 33
- Citations: 507
Positions
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Associate Professor 2026–presentAlice L. Walton School of Medicine ORCID
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Contingent Worker publications 2020–2026University of Arkansas at Fayetteville Institution web page
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Biostatistician publications 2020–2026University of Arkansas at Fayetteville Listing
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Assistant Professor 2020–2026University of Arkansas Psychological Science ORCID
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Postdoctoral Researcher 2019–2020Indiana University Psychological and Brain Sciences ORCID
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Staff Research Associate II 2010–2013University of California San Francisco Neurology ORCID
Selected Publications
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Mapping Human Mesolimbic Circuitry for Risk and Reward: A 7T Structural Connectivity Atlas (2026)
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Adolescent Social Media Use and Associations With Parental Screen Time Practices (2026)Journal of the Arkansas Academy of Science OpenAlex
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Longitudinal development of the anterior insula-nucleus accumbens white matter pathway through adolescence predicts risk taking in young adulthood (2026)
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Lifetime Stressor Exposure Profiles and Trait Risk for Substance Use in Young Adults (2026)
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Structural projections to the nucleus accumbens link to impulsive components of human risk preference (2024)
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A Virtual In Vivo Dissection and Analysis of Socioaffective Symptoms Related to Cerebellum-Midbrain Reward Circuitry in Humans (2024)
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Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
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Sex-Specific Vulnerability to Externalizing Problems: Sensitivity to Early Stress and Nucleus Accumbens Activation Over Adolescence (2024)
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brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
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Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference (2023)
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An in vivo Dissection, and Analysis of Socio-Affective Symptoms related to Cerebellum-Midbrain Reward Circuitry in Humans (2023)
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Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment (2022)
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Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment (2022)
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Brain tract structure predicts relapse to stimulant drug use (2022)
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White-matter tract connecting anterior insula to nucleus accumbens predicts greater future motivation in adolescents (2020)
Collaboration Network
Top Collaborators
Brian Knutson
Stanford University (US)
4 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structural projections to the nucleus accumbens link to impulsive components of human risk preference
- White-matter tract connecting anterior insula to nucleus accumbens predicts greater future motivation in adolescents
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Loreen Tisdall
University of Basel (CH)
3 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structural projections to the nucleus accumbens link to impulsive components of human risk preference
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Kelly H. MacNiven
Stanford University (US)
3 shared publications
- Brain tract structure predicts relapse to stimulant drug use
- Structural projections to the nucleus accumbens link to impulsive components of human risk preference
- Structure of connections to the nucleus accumbens link to specific but not general measures of human risk preference
Ian H. Gotlib
Stanford University (US)
2 shared publications
- White-matter tract connecting anterior insula to nucleus accumbens predicts greater future motivation in adolescents
- Sex-Specific Vulnerability to Externalizing Problems: Sensitivity to Early Stress and Nucleus Accumbens Activation Over Adolescence
Luke W. Bonham
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Ethan G. Geier
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Daniel W. Sirkis
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Eliana Marisa Ramos
University of California, Los Angeles (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Qing Wang
University of California, Los Angeles (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Anna Karydas
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Suzee E. Lee
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Virginia E. Sturm
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Russell P. Sawyer
University of Cincinnati Medical Center (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Adit Friedberg
University of California, San Francisco (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
Justin K. Ichida
University of Southern California (US)
2 shared publications
- Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
- Radiogenomics of C9orf72 expansion carriers reveals global transposable element de-repression and enables prediction of thalamic atrophy and clinical impairment
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